Other university, Computer Engineering , Speech Natural Language Processing Syllabus

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Unit - 1 Introduction

UNIT1

Introduction and Word Level Analysis

1.1 Origins and Challenges of NLP

1.2 Language Modelling Grammarbased LM Statistical LM

1.3 Regular Expressions

1.4 Finite State Automata

1.5 English Morphology

1.6 Transducers for Lexicon and Rules

1.7 Tokenization

1.8 Detecting and Correcting Spelling Errors

1.9 Minimum Edit Distance

1.10 NGram Models

1.11 Evaluating NGrams

1.12 Smoothing

1.13 Interpolation and Back off – Word Classes PartofSpeech Tagging Rulebased Stochastic and Transformationbased Tagging

1.14 Issues in PoS Tagging – Hidden Markov and Maximum Entropy Models

Unit - 2 Syntactic Analysis

UNIT2

Syntactic Analysis

2.1 ContextFree Grammars

2.2 Grammar Rules for English – Dependency Grammar

2.3 Treebanks

2.4 Normal Forms in Contextfree Grammar

2.5 Syntactic Parsing

2.6 Ambiguity

2.7 Dynamic Programming Parsing

2.8 Shallow Parsing

2.9 Probabilistic Contextfree Grammar

2.10 Probabilistic CYK

2.11 Probabilistic Lexicalized CFG’s

2.12 Feature Structures

2.13 Unification of Feature Structures

Unit - 3 Semantics and Pragmatics

UNIT3

Semantics and Pragmatics

3.1 Requirements for Representation

3.2 First – Order Logic Description Logic

3.3 Word Sense Disambiguation

Unit - 4 Basic Concepts of Speech Processing

UNIT 4

Basic Concepts of Speech Processing

4.1 Speech Fundamentals

4.2 Articulatory Phonetics

4.3 Acoustic Phonetics

4.4 Short time Fourier series

4.5 Filter Banks

4.6 Linear Predictive Coding

Unit - 5 Speech Analysis

UNIT5

Speech Analysis

5.1 Features Extraction

5.2 Language Modelling Grammarbased LM Statistical LM

5.3 Dynamic Time Warping

5.4 Multiple Time – Alignment Path

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